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In this paper, we propose a new approach for pathway search in phase transition simulation of crystal structures.
These findings are valuable for the evaluation of drug efficacy and thus provide an effective approach for pathway network-based drug discovery.
The results strongly support the idea of using a PET approach for pathway comparisons.
The significance of using this approach for pathway discovery in EOC is discussed.
USGSA is a computationally efficient approach for pathway analysis of GWAS data with promoted interpretability and comparability.
According to a proposed strategy, metabolites, proteins, and transcriptional profiling under two physiological states (e.g., metabolites accumulating versus nonaccumulating) can provide a novel approach for pathway elucidation in plants [ 8, 20].
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We initially compared different statistical approaches for pathway signature generation.
By combining statistical significance at the gene level and at the pathway level, MAPE is a novel kind of meta-analysis approaches for pathway enrichment analysis [ 4].
These studies also offer a promising approach for synthetic pathway refactoring in Actinobacteria.
A novel approach for biological pathway modeling based on hybrid intelligent systems or soft computing technologies is presented here.
Our approach for assessing pathway activation utilizes RCR, where the differential mRNA expression of genes is used to infer the activity of nodes/pathways in the network based on causal relationships.
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CEO of Professional Science Editing for Scientists @ prosciediting.com